TSIRM: A Two-Stage Iteration with Least-Squares Residual Minimization Algorithm to Solve Large Sparse Linear Systems

2015 IEEE International Parallel and Distributed Processing Symposium Workshop ◽

10.1109/ipdpsw.2015.45 ◽

2015 ◽

Author(s):

Raphael Couturier ◽

Lilia Ziane Khodja ◽

Christophe Guyeux

Keyword(s):

Least Squares ◽

Linear Systems ◽

Sparse Linear Systems ◽

Minimization Algorithm ◽

Two Stage ◽

Residual Minimization

Download Full-text

TSIRM: A two-stage iteration with least-squares residual minimization algorithm to solve large sparse linear and nonlinear systems

Journal of Computational Science ◽

10.1016/j.jocs.2016.10.017 ◽

2016 ◽

Vol 17 ◽

pp. 535-546 ◽

Author(s):

Raphaël Couturier ◽

Lilia Ziane Khodja ◽

Christophe Guyeux

Keyword(s):

Nonlinear Systems ◽

Least Squares ◽

Minimization Algorithm ◽

Two Stage ◽

Linear And Nonlinear ◽

Residual Minimization ◽

Linear And Nonlinear Systems

Download Full-text

Row elimination for solving sparse linear systems and least squares problems

Lecture Notes in Mathematics - Numerical Analysis ◽

10.1007/bfb0080119 ◽

1976 ◽

pp. 122-133 ◽

Author(s):

W. Morven Gentleman

Keyword(s):

Least Squares ◽

Linear Systems ◽

Sparse Linear Systems ◽

Least Squares Problems

Download Full-text

Two-stage Self-Updating Unsteady POD-ROM Based on Least Squares Residual Minimization

AIAA AVIATION 2021 FORUM ◽

10.2514/6.2021-2604 ◽

2021 ◽

Author(s):

Andrea Garbo ◽

Philipp Bekemeyer

Keyword(s):

Least Squares ◽

Two Stage ◽

Residual Minimization

Download Full-text

Least squares solution of nearly square overdetermined sparse linear systems

2002 IEEE International Symposium on Circuits and Systems. Proceedings (Cat. No.02CH37353) ◽

10.1109/iscas.2002.1010586 ◽

2003 ◽

Author(s):

V. Karanko ◽

M. Honkala

Keyword(s):

Least Squares ◽

Linear Systems ◽

Sparse Linear Systems ◽

Least Squares Solution

Download Full-text

GPU-based preconditioned conjugate gradient method for solving sparse linear systems

Journal of Computer Applications ◽

10.3724/sp.j.1087.2013.00825 ◽

2013 ◽

Vol 33 (3) ◽

pp. 825-829 ◽

Author(s):

Jianfei ZHANG ◽

Defei SHEN

Keyword(s):

Linear Systems ◽

Conjugate Gradient Method ◽

Conjugate Gradient ◽

Gradient Method ◽

Preconditioned Conjugate Gradient Method ◽

Preconditioned Conjugate Gradient ◽

Sparse Linear Systems

Download Full-text

An Asymptotically Smoothed Two-Stage Nonlinear Least Squares Estimator for Threshold Regression Models with Endogenous Variable

SSRN Electronic Journal ◽

10.2139/ssrn.1740605 ◽

2010 ◽

Author(s):

Daniele Massacci

Keyword(s):

Least Squares ◽

Regression Models ◽

Nonlinear Least Squares ◽

Least Squares Estimator ◽

Endogenous Variable ◽

Threshold Regression ◽

Download Full-text

Parallel algorithm for solving sparse linear systems

Electronics Letters ◽

10.1049/el:19961203 ◽

1996 ◽

Vol 32 (19) ◽

pp. 1766

Author(s):

K.N. Balasubramanya Murthy ◽

C. Siva Ram Murthy

Keyword(s):

Parallel Algorithm ◽

Linear Systems ◽

Sparse Linear Systems

Download Full-text

9.2. Instrumental Variables and Two-Stage Least Squares

Time Series Analysis ◽

10.1515/9780691218632-074 ◽

1994 ◽

pp. 238-243

Keyword(s):

Least Squares ◽

Instrumental Variables ◽

Two Stage ◽

Two Stage Least Squares

Download Full-text

Introducing multi-level parallelism, at coarse, fine and instruction level to enhance the performance of iterative solvers for large sparse linear systems on Multi- and Many-core architecture

2020 IEEE/ACM 6th Workshop on the LLVM Compiler Infrastructure in HPC (LLVM-HPC) and Workshop on Hierarchical Parallelism for Exascale Computing (HiPar) ◽

10.1109/llvmhpchipar51896.2020.00014 ◽

2020 ◽

Author(s):

Jean-Marc Gratien

Keyword(s):

Linear Systems ◽

Iterative Solvers ◽

Sparse Linear Systems ◽

Multi Level ◽

Many Core ◽

Level Parallelism

Download Full-text

Discretisation of sparse linear systems: An optimisation approach

Systems & Control Letters ◽

10.1016/j.sysconle.2015.03.009 ◽

2015 ◽

Vol 80 ◽

pp. 42-49 ◽

Author(s):

M. Souza ◽

J.C. Geromel ◽

P. Colaneri ◽

R.N. Shorten

Keyword(s):

Linear Systems ◽

Sparse Linear Systems

Download Full-text